5 beste Stellen als machine learning engineer in lindenberg zh – aktuell auf Personalsuche

Software Engineer Manager, Core Verification
Google —Zürich, ZH
- 100%
- Management-Erfahrung
- Doktorat
- Master
4 Tage
Software Architect - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
9 Tage
Senior Data & AI Consultant/Consulting Lead (Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
1 Tag
Senior Data Engineer
Apple —Zürich, ZH
- Systemdesign
- Englisch
- SQL
1 Tag

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Software Engineer Manager, Core Verification

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 4 Tagen

Leistungen

Unterkunft

Qualifikationen

Management-Erfahrung
Doktorat
Master
C++
Bachelor
Softwareentwicklung
Führungserfahrung

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization.
Experience of working with C++.
Knowledge of statistics or machine learning.
Outstanding performance review and track record of successful deliveries.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
Develop the mid-term technical outlook and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in lindenberg zh

Software Engineer Manager, Core Verification

Software Architect - Product Recommendations (w/m/d)

Senior Data & AI Consultant/Consulting Lead (Switzerland)

Software Engineer III, AI/ML, Gemini Integration/Customisation

Senior Data Engineer

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